25 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of London in United Kingdom
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About the Role A Postdoctoral Research Assistant (PDRA) is sought to join the musculoskeletal organ-chip research team within Queen Mary’s Centre for Predictive in vitro Models. This 23-month post
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development and learning in cancer genomics and translational research. We work with large
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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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), which houses the in vitro models centre alongside cell culture, biochemistry, microscopy and molecular biology labs. Details about the school and multidisciplinary bioengineering research activity can be
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high resolution microscopy, biochemical assays and molecular cell biology both in vitro and in vivo the present project aims to determine the impact of cellular senescence pathways on regulated
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***INTERNAL APPLICATIONS ONLY*** About the Role A 6 month PDRA position is available to study how mitochondrial metabolism regulates cell death in B cell lymphoma. Techniques will include molecular
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& adaptive immunity. Our scientific research spans cellular and molecular biology, immunology, pharmacology, antibody engineering, chemistry and structure-function relationships, as well as bioinformatics